Data Engineer – Associate to Senior Level

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🔥 14 minutes ago

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Logo of Dayforce

Dayforce

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) and workforce management platform (offered by Ceridian). Dayforce provides a unified SaaS application that combines payroll, HR, benefits administration, time and attendance, workforce scheduling, and talent management to help employers manage employees, payroll, and compliance workflows. It is primarily sold to businesses and enterprises as an HR/payroll workforce solution.

📋 Description

• Design, build, and optimize data pipelines and ETL workflows • Develop scalable data models, data structures, and data integrations • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks • Ensure data quality, governance, security, and compliance • Partner with business stakeholders, analysts, and data scientists • Contribute to or lead complex, cross-functional data initiatives • Improve platform reliability through monitoring, validation, and automation • Create clear documentation, runbooks, and data lineage • Mentor junior engineers (Senior-level roles)

🎯 Requirements

• Degree in Data Science, Computer Science, or a related field • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen • Experience with data engineering, ETL/ELT, and data modeling • Proficiency in SQL and Python (advanced at senior levels) • Strong problem-solving, communication, and collaboration skills • Experience with cloud data platforms (Azure preferred) • Passion for building high-quality, reliable data solutions • Azure certifications (DP-203, DP-700) • Databricks / Data Lake experience • Power BI or analytics experience • Insurance or claims data knowledge

🏖️ Benefits

• Professional development opportunities

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